If you are looking to analyze financial data in R, the Intrinio API is a great solution. This article explains how to install a package that makes it easy to pull the data, shows some examples using the package, and provides the code for the package so you can see what is going on in the background.

Intrinio is pleased to announce the addition of QUODD to the Intrinio Fintech Marketplace. Intrinio users can now access more than a dozen real-time stock, index, commodities, forex, and options price feeds through QUODD's low latency exchange connections.

This article explains which data feeds are included and how they can be accessed by different types of users.

If you want to succeed in the stock market, you've got to learn how to think like a stock market analyst.

With the right analytical skills and perspectives, you'll be able to make smart stock market decisions and see the returns you'd hoped for - and more. You don't even need a lot of base knowledge to get started. Just having the mindset of a stock market analyst can make a huge difference.

Learn how an analyst reads and reacts to the data so you can put it into practice yourself. Read on to find out what you need to know.

You can't predict a global stock market crisis, but you can prevent one of the personal stock market disasters that cost people millions of dollars every day. You do this by knowing which stocks to watch, and watching them the right way.

Of course, you need to know how to pick a winner. But you also need to know how to give your stock a chance to win, and/or walk away from it if it disappoints or underperforms.

One of the best parts about working at Intrinio is that we get to see our data come alive in the apps, software and innovations that our users build. Today, we're proud to feature one of our earliest customers, FinanceBoards.

The team at FinanceBoards built a bridge to integrate any API into custom widgets on a dashboard. This innovation enables anyone (even first time investors) to access powerful financial data in one place on their own, customizable dashboard. Imagine how convenient this is when you're analyzing investments!

A new data feed in the Intrinio Fintech Marketplace pairs Wall Street Horizon's exceptionally accurate corporate events calendar with Intrinio's extraordinarily intuitive access methods. Users can pull data points such as earnings dates, dividend dates and conference call dates in formats such as Excel, API, and Google Sheets. This article explains what data is included in the Wall Street Horizon Corporate Events Data Feed, how to subscribe to that data, and how to access that data in Excel, CSV, API, or Google Sheets formats.

Intrinio's Data Explorer has a webpage each of the companies, securities, and stocks that Intrinio covers. Each page includes basic information like financials, stock prices, and news. You can see Amazon's page here to get a feel for what each page looks like. This article explains how to take advantage of the Data Explorer to search Intrinio's coverage, get an overview of a stock, or pull the data you see on a page.

API stands for application programming interface and if that sounds like gibberish, you are already being left in the dust by the competition. APIs allow developers to build connections between their own applications and other applications, enabling data sources to interact. In the past, businesses that wanted their software systems to interact had to purchase expensive ERP software and implement cumbersome, time consuming solutions.

APIs make it easy and cheap for business tools to "talk" to each other, powering data driven decision making in real time. Businesses that use APIs will thrive, those that don't will be too slow to keep up.

What exactly is an API?

If you are a developer using Intrinio's API you will have noticed that for many data types, the results are limited to a specific number per page. This article answers these questions about API paging limits:

Intrinio is proud to announce that executive contacts and compensation data will now be available in the Fintech Marketplace. This dataset from Greensight is broken into two data feeds, one for the United States and one for international executives. Both feeds include direct email and direct phone numbers for key leaders at major corporations as well as 4+ years of compensation data . This article explains what is included in these new feeds and the cost to subscribe, how to access the data in Excel, and how to use the Executive Contacts API.

Our mission at Intrinio is to power a generation of applications that will fundamentally change the way our broken financial system works. Intrinio data feeds form the basis of large enterprise business reporting applications, fintech web-apps, mobile apps and even blogs. It's rewarding to see our product come to life at the hands of today's most innovative developers. They are building powerful things.

We're lucky to be in a business where we grow together with our customers, and we're proud to show off their hard work. Each blog in this series will feature a developer or a startup that has leveraged our financial data feeds to build something incredible.

Intrinio is excited to announce the release of API Explorer, a free tool that makes it easier to check out the data types available in Intrinio's Fintech Marketplace. The API Explorer lets users select the data they would like to see and the companies they would like to see it for, and then outputs that data as well as the Excel, Google Sheets, CSV, and API syntax that would be needed to access that data using other tools. This article explains what the API explorer is, how to use it, and why we created it.

Intrinio is pleased to provide an end-of-day options prices API via the Trade Alert US Option Prices Data Feed. Using our intuitive API, you are able to lookup options contracts for any US security, then see current and historical pricing for those contracts.

Intrinio's mission is to make financial data affordable and accessible so investors can save money and make time to build something meaningful. We have been hard at work on the "affordable" part of our mission, adding new data feeds to the marketplace so our users can access more data types in our pay-for-use model.

Now, we are excited to announce some serious progress on the "accessible" part of our mission. It is now possible to query the Intrinio financial database via API and receive responses in CSV format. In other words, you can download Intrinio data in bulk to CSV and open it in Excel for further analysis.

This article explains why you might want this functionality and how you can use it.

If you are a fintech developer or financial analyst looking for affordable, accessible financial data, you are in the right spot. Intrinio is 100% focused on changing the way financial data is sold. Instead of pushy sales people, expensive fees, and limited access, we have a data market-place designed so you can save money and make time to build something meaningful.

We threw out the mold of traditional providers and in doing so, built a platform that can take some getting used to. If you are "used to" paying $2,000/mo for a single terminal or getting quoted $20,000/mo for real time stock prices, our platform is well worth learning. This article is designed to provide an orientation to make the learning process easier and includes links to helpful resources as well as explanations of some frequently asked questions.

What is this place?

When you're managing a portfolio of stocks it's important to stay up to date with company news. Has Apple, Inc. announced a new version of the iPhone? Is the management shifting at Exxon Mobil? Are new regulations affecting Tesla's future performance? Easy access to these updates via a News API helps you keep a pulse not only on the company and its performance, but on the general media and public sentiment.

This article explains how to pull the latest news on the stocks you follow via the Intrinio News API.

Each day, Intrinio has new users looking for a stock quotes API. It's intuitive that demand would be high for stock price data. Virtually every financial analyst and fintech developer needs this data or their strategies won't work. The problem is that real time stock prices are expensive, and downright unaffordable if you need redistribution rights so you can show the prices to your own customers.

Good luck figuring out how much this data even costs from traditional providers. If you can get a quote, you'll realize that API access with redistribution rights is so expensive it's not even worth it. This article explains how real time stock prices are produced, how Intrinio's stock quotes API works, and why it's a more affordable solution.

Our mission at Intrinio is to power a generation of applications that will fundamentally change the way our broken financial system works. Intrinio data feeds form the basis of large enterprise business reporting applications, Fintech web-apps, mobile apps and even blogs. It's rewarding to see our product come to life at the hands of today's most innovative developers. They are building powerful things.

We're lucky to be in a business where we grow together with our customers, and we're proud to show off their hard work. Each blog in this series will feature a developer or a startup that has leveraged our financial data feeds to build something incredible.

If you think financial modeling is buying expensive clothes to impress your friends, this article isn't for you. If you think financial modeling requires data entry to constantly update your calculations, you are in for a treat. This article shows how to calculate a discounted cash flow (DCF), weighted average cost of capital, or quantitative model in Excel or via API automatically, without data entry.

Accessing Intrinio data for individual US equities is affordable, easy and extremely valuable when analyzing investments. What can be even more powerful at times, is accessing that data on an industry-wide or sector-wide level. We developed a Sector & Industry API so investors and developers can instantly access data to generate lucrative insights for different segments of the market. You can check out the data feed here.

Stock Valuation - The Art and the Science

Warren Buffett is one of the most famous investors of our time and is a stock valuation pro. He learned most of what he knows from Benjamin Graham - the KING of Value Investing.

"Long ago, Ben Graham taught me that price is what you pay, and value is what you get. Whether we're talking about socks or stocks, I like buying quality merchandise when it is marked down." - Warren Buffett

Stock valuation involves analyzing a company from many different angles to determine an intrinsic value. This intrinsic value will either be above or below the current stock price. If the value you arrive at is above the stock price - buy it! It's cheap. If the value is below the stock price- sell it! It's expensive.

Not everyone is a fan of value investing; it's more of a long term approach. Hundreds of thousands of traders around the world pay little attention to the value of a stock, instead raking in big bucks betting on fluctuations in the price of the stock. Day trading, however, is incredibly risky and very few make money at it in the long run. To make an informed investment decision it's wise to analyze the value of the stock before buying.

Stock valuation is as much an art as it is a science. Running a discounted cash flow is somewhat of a science. Deciding which assumptions to put into that model - that is an art. Looking back over historical earnings and performance is a science. Modeling future sales based on industry knowledge and macroeconomic forecasts - that is an art.

There are lots of tools publicly available to assist you in performing stock valuation. We've developed two free tools that take care of the science for you, allowing you to focus fully on the art.

Intrinio was founded on the principle that making financial data affordable and accessible has the potential to ignite innovation in an archaic industry. First, we built our technology and used it to get full coverage of US equity data. Then we started looking for new data sets that needed to be freed from the shackles of oligopolistic pricing. We stumbled upon FDIC data, andwhat we built has become truly exciting.

Because of our technology, we're able to serve this data up at a fraction of the cost of other providers. What was once a premium product reserved only for large organizations (who overpay as well) is now affordable and accessible. Eat your heart out.

FDIC Data - The Regulatory Filings

If you're a bank analyst, an investment banker, or the CFO of a bank, you are most likely intimate with the idea of FDIC data. Feel free to skip to the next section so you can get your hands dirty right away.

Intrinio's support team has chatted with thousands of users. One of the most common topics they ask us about about is adding new data types to the Intrinio Fintech Marketplace. They are fed up with data they get from other providers because it is hard to access and expensive. We use those requests to prioritize the data we add next because we know if our users are asking for it it means there aren't any good solutions out there. The first data we prioritized based on user requests was stock prices. Our stock price API is unprecedentedly affordable and easy to access in Excel or API format.

This article explains the ins and outs of the stock price API, how it is used in Excel, and what comes next from Intrinio for stock prices.

We looked up the number of google searches for "Stock Screener API" and found out that only between 10-100 people search for it each month. Thats a tiny market, but if that is what you were looking for, you've come to the right place. This article explains what Intrinio's stock screener API is, how to get access for free, and provides example API calls.

The truth is - there is a whole world operating behind the scenes of financial data feeds. There are professionals, companies, industries, governmental bodies and hundreds of thousands of employees working to deliver you your historical market cap.

Outside of the Intrinio Fintech Marketplace there aren't many options for accessing this data. The options that do exist are prohibitively expensive for two reasons.

One of our most frequently requested data types is international stock prices. Exchange Data International (EDI) is a trusted source for EOD stock prices from around the globe as well as over the counter (OTC) and corporate actions data. We are pleased to announce that EDI data will now be available in the Intrinio Fintech Marketplace.

Pairing EDI's much sought after data types with Intrinio's platform will provide Intrinio's users with a crucial data source and make it easier than ever to access EDI data. We launched the marketplace to make financial data affordable and easy to access- partnering with EDI allows us to expand that vision.

This article explains which EDI data feeds will be available, how much they cost, and how to access them in Excel or API formats. If you are interested in how Intrinio uses the Security Master to identify stocks across international exchanges, this article is a good resource.

The Intrinio Fintech Marketplace was designed to make financial data affordable and easy to access. We are pleased to announce the expansion of that vision with the addition of a new data partner, Zacks, whose analyst estimates data will now be available in the marketplace.

Zacks forward and historical estimates of both EPS and revenue are a trusted source of information in the investment community. Intrinio's platform features disruptively affordable data feeds accessible for financial analysts in Excel and fintech developers via an API. Pairing Zacks analyst estimates with Intrinio's platform will provide Intrinio's users with a crucial data source and make it easier than ever to access Zacks data.

This article explains which Zacks data feeds will be available, how much they cost, and how to access them in Excel or API formats.

This article provides a step by step process for getting the Intrinio Excel add-in installed if you are experiencing problems on a PC. If you get stuck on a step or follow the process and still aren't able to get the add-in working, feel free to chat with our team.

Trouble Shooting on PC

The Excel tutorial will walk you through the install steps. If you didn't follow the tutorial give it a try- it includes step by step instructions. If you followed the tutorial and are still having problems continue to step 2.

This article provides a step by step process for getting the Intrinio Excel add-in installed if you are experiencing problems on a Mac. If you get stuck on a step or follow the process and still aren't able to get the add-in working, feel free to chat with our team.

Trouble Shooting on Mac

The Excel tutorial will walk you through the install steps. If you didn't follow the tutorial give it a try- it includes step by step instructions. If you followed the tutorial and are still having problems continue to step 2.

Financial analysts and fintech developers everywhere are realizing they have choices when it comes to sourcing financial data. Intrinio's financial data API strives to increase those choices by offering a wide variety of data types that are affordable, easy to access, and high quality.

Traditional data providers have enjoyed monopolies on this data for decades, making financial data APIs expensive or limiting access. This article shows how Intrinio is changing things. Keep reading for examples of the data types Intrinio offers, how they can be accessed, and how much they cost.

At Intrinio, we leverage a data standard called XBRL in our underlying technology.

XBRL, or eXtensible Business Reporting Language, is an XML standard for tagging business and financial reports to increase the transparency and accessibility of business information by using a uniform format.

XBRL, combined with the Intrinio standardization technology, enables us to rapidly and accurately source, standardize, normalize, and distribute financial data directly from regulatory bodies like the SEC and the FDIC. This means we are delivering it to you (developers, investors, students) faster, more affordably, and with higher quality.

Intrinio is on a mission to make financial data affordable and easy to access, and one way we do that is by providing historical market cap in Excel and API formats. Our support team, who you can chat with by clicking the green icon on the bottom right-hand corner of this page, get a lot of questions about market capitalization, so we figured it must be a data point that many analysts and developers need.

This blog shows how to get historical market cap data, as well as hundreds of other financial metrics, in Excel for free. If you'd like to skip ahead, or follow along, download the Excel template that I'll be demonstrating here. By the end of this blog you'll be able to pull in historical time series data for any US security.

There are many kinds of "stock prices" and there are also many ways to access those prices. This article explains the different types of stock price data available through the Intrinio Fintech Marketplace and the different ways investors or developers can access those prices as well as the cost for subscribing.

Intrinio provides many different data feeds and applications in its Fintech marketplace and this blog explains how to use three of those apps to analyze stocks using the US Public Company Financials API. Intrinio makes it possible to screen for stocks based on set parameters, quickly run a DCF on those companies, and then dig into the details for those that look under valued- all for free. This article will show you how.

This is the third blog in a series showing how to use Intrinio financial data in R or R Studio to create quant models. The tools at Intrinio are built to make modeling financial data straightforward. The first blog shows the basics of making an API call for financial data in R. The second blog shows how to write two functions, one to pull in historical stock prices and another to pull in historical fundamentals data.

This blog takes both of those blogs a step further, creating a single function that will pull in historical stock prices as well as historical fundamentals for many companies and many metrics at once. The function code as well as an explanation of what is going on under the hood is included, enabling R developers to quickly create a data frame for analysis with exactly the data they want.

Our mission at Intrinio is to power a generation of applications that will fundamentally change the way our broken financial system works. Intrinio data feeds form the basis of large enterprise business reporting applications, Fintech web-apps, simple mobile apps and even blogs. It's rewarding to see our product come to life at the hands of today's most innovative developers building powerful things.

We're lucky to be in a business where we grow together with our customers, and we're proud to show off their hard work. Each blog in this series will feature a developer or a startup that has leveraged our financial data feeds to build something incredible.

This Friday, Team Intrinio cut the ribbon at a brand new office in St. Petersburg, FL. We share the new office building with our friends at Check I'm Here - the world's best campus engagement platform. With #fintech and #edtech together under one roof there is a heck of a lot of innovation going on.